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Simultaneous Wireless Information and Power Transfer for Downlink Multi-User Massive Antenna-Array Systems

机译:下行多用户大规模天线阵列系统的同时无线信息和功率传输

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摘要

We propose a simultaneous wireless information and power transfer scheme based on the power-splitting technique for the downlink of multi-user massive antenna-array systems. The base station (BS) can transmit both the wireless energy and information simultaneously to the user equipments (UEs). Using the harvested energy, each UE can transmit its pilot signal to the BS for the downlink channel estimation by exploiting the channel reciprocity of the time division duplexing system. When the antenna scale is large enough, the ergodic achievable rates of UEs are derived in closed-form. To maximize the minimum achievable rate among all the UEs, an iterative algorithm with low-complexity is proposed to jointly optimize the power allocation coefficients of the BS and the power-splitting ratios of the UEs. In each iteration of the proposed algorithm, the optimal power-splitting ratios can be determined according to the closed-form expressions for a given power allocation coefficient. The convergency, optimality, and complexity of our proposed algorithm are analyzed theoretically. The equal power allocation is shown to be optimal when the transmit power of BS is large enough. Furthermore, the optimal number of antennas is determined to maximize the energy efficiency. Simulation results are provided to validate our closed-form approximations and verify the efficiency of our proposed algorithm.
机译:针对多用户大规模天线阵列系统的下行链路,我们提出了一种基于功率分离技术的同时无线信息和功率传输方案。基站(BS)可以同时向用户设备(UE)发送无线能量和信息。使用所收集的能量,每个UE可以通过利用时分双工系统的信道互易性将其导频信号发送到BS以用于下行链路信道估计。当天线规模足够大时,UE的遍历可达到的速率以封闭形式导出。为了最大化所有UE之间的最小可实现速率,提出了一种低复杂度的迭代算法,以联合优化BS的功率分配系数和UE的功率分配比。在提出的算法的每次迭代中,可以根据给定功率分配系数的闭式表达式确定最佳功率分配比。从理论上分析了所提算法的收敛性,最优性和复杂性。当BS的发射功率足够大时,示出相等的功率分配是最佳的。此外,确定天线的最佳数量以最大化能量效率。提供仿真结果以验证我们的闭式近似并验证我们提出的算法的效率。

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